Data-Driven Learning Framework for Fast Quantitative Knee Joint Mapping

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Data-Driven Learning Framework for Fast Quantitative Knee Joint Mapping

Brief description of study

We propose a rapid and robust approach for the quantitative multi-compartment assessment of knee cartilage using magnetic resonance imaging without using either exogenous contrast agent or hardware modifications as an early screening tool for osteoarthritis.

Clinical Study Identifier: s21-00710

Principal Investigator: Marcelo Victor Wust Zibetti.

Other Investigators: Gregory Chang, Steven Abramson, Ravinder R Regatte, James S Babb, Jonathan Samuels.

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